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08/29/2023
Tuning the perplexity for and computing sampling-based t-SNE embeddings
Widely used pipelines for the analysis of high-dimensional data utilize ...
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08/03/2023
ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data
Exploration and analysis of high-dimensional data are important tasks in...
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07/10/2023
A Fast Geometric Multigrid Method for Curved Surfaces
We introduce a geometric multigrid method for solving linear systems ari...
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05/30/2023
Template-free Articulated Neural Point Clouds for Reposable View Synthesis
Dynamic Neural Radiance Fields (NeRFs) achieve remarkable visual quality...
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11/27/2022
Quantifying spatial, temporal, angular and spectral structure of effective daylight in perceptually meaningful ways
We present a method to capture the 7-dimensional light field structure, ...
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03/16/2022
Deep vanishing point detection: Geometric priors make dataset variations vanish
Deep learning has improved vanishing point detection in images. Yet, dee...
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02/18/2022
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images
High-dimensional imaging is becoming increasingly relevant in many field...
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11/16/2021
DeltaConv: Anisotropic Point Cloud Learning with Exterior Calculus
Learning from 3D point-cloud data has rapidly gained momentum, motivated...
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08/05/2019
Geometric Sample Reweighting for Monte Carlo Integration
We present a general sample reweighting scheme and its underlying theory...
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07/25/2019
How to Manipulate CNNs to Make Them Lie: the GradCAM Case
Recently many methods have been introduced to explain CNN decisions. How...
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07/19/2019
LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization
LightGuider is a novel guidance-based approach to interactive lighting d...
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05/28/2018
Linear tSNE optimization for the Web
The t-distributed Stochastic Neighbor Embedding (tSNE) algorithm has bec...
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12/05/2015
